Dynamic of Glucose Homeostasis in Virtual Patients: A Comparison between Different Behaviors

Alexis Alonso-Bastida, Manuel Adam-Medina, Rubén Posada-Gómez, Dolores Azucena Salazar-Piña, Gloria-Lilia Osorio-Gordillo and Luis Gerardo Vela-Valdés
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Alexis Alonso-Bastida: Electronic Engineering Department, TecNM/CENIDET, Cuernavaca 62490, Morelos, Mexico
Manuel Adam-Medina: Electronic Engineering Department, TecNM/CENIDET, Cuernavaca 62490, Morelos, Mexico
Rubén Posada-Gómez: TecNM/CRODE, Orizaba 94380, Veracruz, Mexico
Dolores Azucena Salazar-Piña: Faculty of Nutrition, UAEM, Cuernavaca 62350, Morelos, Mexico
Gloria-Lilia Osorio-Gordillo: Electronic Engineering Department, TecNM/CENIDET, Cuernavaca 62490, Morelos, Mexico
Luis Gerardo Vela-Valdés: Electronic Engineering Department, TecNM/CENIDET, Cuernavaca 62490, Morelos, Mexico

IJERPH, 2022, vol. 19, issue 2, 1-19

Abstract: This work presents a mathematical model of homeostasis dynamics in healthy individuals, focusing on the generation of conductive data on glucose homeostasis throughout the day under dietary and physical activity factors. Two case studies on glucose dynamics for populations under conditions of physical activity and sedentary lifestyle were developed. For this purpose, two types of virtual populations were generated, the first population was developed according to the data of a total of 89 physical persons between 20 and 75 years old and the second was developed using the Monte Carlo approach, obtaining a total of 200 virtual patients. In both populations, each participant was classified as an active or sedentary person depending on the physical activity performed. The results obtained demonstrate the capacity of virtual populations in the generation of in-silico approximations similar to those obtained from in-vivo studies. Obtaining information that is only achievable through specific in-vivo experiments. Being a tool that generates information for the approach of alternatives in the prevention of the development of type 2 Diabetes.

Keywords: daily activities; extended Bergman minimal model; glucose homeostasis; Monte Carlo approach (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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